Bergische Universität Wuppertal
Fachbereich Mathematik und Naturwissenschaften
Angewandte Mathematik - Numerische Analysis

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Vorhersage-Modelle am Beispiel des Corona-Virus COVID-19


Bachelorarbeit Mathematik


Betreuung

Kooperation

Beschreibung

Die erste Gruppe von schweren Lungenentzündungen, die die COVID-19-Epidemie auslöste, wurde im Dezember 2019 in Wuhan, China, identifiziert. Der Ausbruch stellt eine Herausforderung für die Modellierer dar, da nur wenige Daten über die frühen Wachstumsverlauf und die epidemiologischen Eigenschaften des neuartigen Coronavirus bekannt sind. Wir verwenden Vorhersage-Modelle, die bei früheren Ausbrüchen validiert wurden, um kurzfristige Vorhersagen der kumulativen Anzahl bestätigter Meldungen zu erstellen und zu bewerten.

Fragestellung

Schlüsselwörter

Vorhersagen, logistisches Wachstumsmodell, Richards-Wachstumsmodell, subepidemisches Wellenmodell.

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University of Wuppertal
Faculty of Mathematics and Natural Sciences
Department of Mathematics
Applied Mathematics & Numerical Analysis Group

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